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Credit Risk
Kreditní riziko
dc.contributor.advisorHurt, Jan
dc.creatorBabiaková, Monika
dc.date.accessioned2017-04-07T15:01:25Z
dc.date.available2017-04-07T15:01:25Z
dc.date.issued2008
dc.identifier.urihttp://hdl.handle.net/20.500.11956/14202
dc.description.abstractThe main topic of this diploma thesis is the credit risk (default risk) modeling from the portfolio view. The work is introduced by a brief description of credit risk measures and a review of models. The largest part of this thesis is focused on a description of factor models, such as simulation-based KMV and CreditMetrics resulting from Merton's model of a firm and analytical CreditRisk+ utilizing actuarial mathematics procedures. The alternative models based on a conditional independence and importance sampling are also described. The second part of the work contains a description of Mathematica programmes resulting from the models. These programmes are consequently used to analyze a credit risk of a sample coupon obligations portfolio. To make the results comparable the emphasis is placed on calibration of a particular models. The thesis is concluded by comparison of these models in terms of their usability.en_US
dc.languageSlovenčinacs_CZ
dc.language.isosk_SK
dc.publisherUniverzita Karlova, Matematicko-fyzikální fakultacs_CZ
dc.titleKreditní rizikosk_SK
dc.typediplomová prácecs_CZ
dcterms.created2008
dcterms.dateAccepted2008-02-06
dc.description.departmentDepartment of Probability and Mathematical Statisticsen_US
dc.description.departmentKatedra pravděpodobnosti a matematické statistikycs_CZ
dc.description.facultyMatematicko-fyzikální fakultacs_CZ
dc.description.facultyFaculty of Mathematics and Physicsen_US
dc.identifier.repId44364
dc.title.translatedCredit Risken_US
dc.title.translatedKreditní rizikocs_CZ
dc.contributor.refereeZichová, Jitka
dc.identifier.aleph001174093
thesis.degree.nameMgr.
thesis.degree.levelmagisterskécs_CZ
thesis.degree.disciplineFinancial and insurance mathematicsen_US
thesis.degree.disciplineFinanční a pojistná matematikacs_CZ
thesis.degree.programMatematikacs_CZ
thesis.degree.programMathematicsen_US
uk.thesis.typediplomová prácecs_CZ
uk.taxonomy.organization-csMatematicko-fyzikální fakulta::Katedra pravděpodobnosti a matematické statistikycs_CZ
uk.taxonomy.organization-enFaculty of Mathematics and Physics::Department of Probability and Mathematical Statisticsen_US
uk.faculty-name.csMatematicko-fyzikální fakultacs_CZ
uk.faculty-name.enFaculty of Mathematics and Physicsen_US
uk.faculty-abbr.csMFFcs_CZ
uk.degree-discipline.csFinanční a pojistná matematikacs_CZ
uk.degree-discipline.enFinancial and insurance mathematicsen_US
uk.degree-program.csMatematikacs_CZ
uk.degree-program.enMathematicsen_US
thesis.grade.csVýborněcs_CZ
thesis.grade.enExcellenten_US
uk.abstract.enThe main topic of this diploma thesis is the credit risk (default risk) modeling from the portfolio view. The work is introduced by a brief description of credit risk measures and a review of models. The largest part of this thesis is focused on a description of factor models, such as simulation-based KMV and CreditMetrics resulting from Merton's model of a firm and analytical CreditRisk+ utilizing actuarial mathematics procedures. The alternative models based on a conditional independence and importance sampling are also described. The second part of the work contains a description of Mathematica programmes resulting from the models. These programmes are consequently used to analyze a credit risk of a sample coupon obligations portfolio. To make the results comparable the emphasis is placed on calibration of a particular models. The thesis is concluded by comparison of these models in terms of their usability.en_US
uk.file-availabilityV
uk.publication.placePrahacs_CZ
uk.grantorUniverzita Karlova, Matematicko-fyzikální fakulta, Katedra pravděpodobnosti a matematické statistikycs_CZ
dc.identifier.lisID990011740930106986


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